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Zehan Wang
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2020 – today
- 2024
- [i16]Zehan Wang, Ziang Zhang, Xize Cheng, Rongjie Huang, Luping Liu, Zhenhui Ye, Haifeng Huang, Yang Zhao, Tao Jin, Peng Gao, Zhou Zhao:
FreeBind: Free Lunch in Unified Multimodal Space via Knowledge Fusion. CoRR abs/2405.04883 (2024) - 2023
- [c15]Zehan Wang, Yang Zhao, Haifeng Huang, Yan Xia, Zhou Zhao:
Scene-robust Natural Language Video Localization via Learning Domain-invariant Representations. ACL (Findings) 2023: 144-160 - [c14]Zehan Wang, Haifeng Huang, Yang Zhao, Linjun Li, Xize Cheng, Yichen Zhu, Aoxiong Yin, Zhou Zhao:
3DRP-Net: 3D Relative Position-aware Network for 3D Visual Grounding. EMNLP 2023: 10612-10625 - [c13]Zehan Wang, Haifeng Huang, Yang Zhao, Linjun Li, Xize Cheng, Yichen Zhu, Aoxiong Yin, Zhou Zhao:
Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding. ICCV 2023: 2662-2671 - [c12]Xize Cheng, Tao Jin, Rongjie Huang, Linjun Li, Wang Lin, Zehan Wang, Ye Wang, Huadai Liu, Aoxiong Yin, Zhou Zhao:
MixSpeech: Cross-Modality Self-Learning with Audio-Visual Stream Mixup for Visual Speech Translation and Recognition. ICCV 2023: 15689-15699 - [c11]Zehan Wang, Yang Zhao, Xize Cheng, Haifeng Huang, Jiageng Liu, Aoxiong Yin, Li Tang, Linjun Li, Yongqi Wang, Ziang Zhang, Zhou Zhao:
Connecting Multi-modal Contrastive Representations. NeurIPS 2023 - [i15]Xize Cheng, Linjun Li, Tao Jin, Rongjie Huang, Wang Lin, Zehan Wang, Huangdai Liu, Ye Wang, Aoxiong Yin, Zhou Zhao:
MixSpeech: Cross-Modality Self-Learning with Audio-Visual Stream Mixup for Visual Speech Translation and Recognition. CoRR abs/2303.05309 (2023) - [i14]Zehan Wang, Yang Zhao, Xize Cheng, Haifeng Huang, Jiageng Liu, Li Tang, Linjun Li, Yongqi Wang, Aoxiong Yin, Ziang Zhang, Zhou Zhao:
Connecting Multi-modal Contrastive Representations. CoRR abs/2305.14381 (2023) - [i13]Zehan Wang, Haifeng Huang, Yang Zhao, Linjun Li, Xize Cheng, Yichen Zhu, Aoxiong Yin, Zhou Zhao:
Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding. CoRR abs/2307.09267 (2023) - [i12]Zehan Wang, Haifeng Huang, Yang Zhao, Linjun Li, Xize Cheng, Yichen Zhu, Aoxiong Yin, Zhou Zhao:
3DRP-Net: 3D Relative Position-aware Network for 3D Visual Grounding. CoRR abs/2307.13363 (2023) - [i11]Zehan Wang, Haifeng Huang, Yang Zhao, Ziang Zhang, Zhou Zhao:
Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D Scenes. CoRR abs/2308.08769 (2023) - [i10]Zehan Wang, Ziang Zhang, Luping Liu, Yang Zhao, Haifeng Huang, Tao Jin, Zhou Zhao:
Extending Multi-modal Contrastive Representations. CoRR abs/2310.08884 (2023) - [i9]Haifeng Huang, Zehan Wang, Rongjie Huang, Luping Liu, Xize Cheng, Yang Zhao, Tao Jin, Zhou Zhao:
Chat-3D v2: Bridging 3D Scene and Large Language Models with Object Identifiers. CoRR abs/2312.08168 (2023) - [i8]Haifeng Huang, Yang Zhao, Zehan Wang, Yan Xia, Zhou Zhao:
Multi-Modal Domain Adaptation Across Video Scenes for Temporal Video Grounding. CoRR abs/2312.13633 (2023) - [i7]Xize Cheng, Rongjie Huang, Linjun Li, Tao Jin, Zehan Wang, Aoxiong Yin, Minglei Li, Xinyu Duan, Changpeng Yang, Zhou Zhao:
TransFace: Unit-Based Audio-Visual Speech Synthesizer for Talking Head Translation. CoRR abs/2312.15197 (2023) - 2022
- [j4]Wei Tian, Songtao Wang, Zehan Wang, Mingzhi Wu, Sihong Zhou, Xin Bi:
Multi-Modal Vehicle Trajectory Prediction by Collaborative Learning of Lane Orientation, Vehicle Interaction, and Intention. Sensors 22(11): 4295 (2022) - 2021
- [j3]Zhiying Lu, Zehan Wang, Xin Li, Jianfeng Zhang:
A Method of Ground-Based Cloud Motion Predict: CCLSTM + SR-Net. Remote. Sens. 13(19): 3876 (2021) - 2020
- [c10]Sabiheh Faghih, Arpita Shah, Zehan Wang, Abolfazl Safikhani, Camille Kamga:
Taxi and Mobility: Modeling Taxi Demand Using ARMA and Linear Regression. EUSPN/ICTH 2020: 186-195 - [c9]Wenming Jiang, Ying Zhao, Zehan Wang:
Risk-Controlled Selective Prediction for Regression Deep Neural Network Models. IJCNN 2020: 1-8 - [c8]Zehan Wang, Sihong Zhou, Yuyao Huang, Wei Tian:
DsMCL: Dual-Level Stochastic Multiple Choice Learning for Multi-Modal Trajectory Prediction. ITSC 2020: 1-6
2010 – 2019
- 2019
- [j2]Liping Chen, Lili Zhangzhong, Wengang Zheng, Jinxing Yu, Zehan Wang, Long Wang, Chao Huang:
Data-Driven Calibration of Soil Moisture Sensor Considering Impacts of Temperature: A Case Study on FDR Sensors. Sensors 19(20): 4381 (2019) - 2017
- [c7]Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew P. Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi:
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. CVPR 2017: 105-114 - [c6]Jose Caballero, Christian Ledig, Andrew P. Aitken, Alejandro Acosta, Johannes Totz, Zehan Wang, Wenzhe Shi:
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation. CVPR 2017: 2848-2857 - [i6]Andrew P. Aitken, Christian Ledig, Lucas Theis, Jose Caballero, Zehan Wang, Wenzhe Shi:
Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize. CoRR abs/1707.02937 (2017) - [i5]Joost R. van Amersfoort, Wenzhe Shi, Alejandro Acosta, Francisco Massa, Johannes Totz, Zehan Wang, Jose Caballero:
Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks. CoRR abs/1711.06045 (2017) - 2016
- [c5]Wenzhe Shi, Jose Caballero, Ferenc Huszar, Johannes Totz, Andrew P. Aitken, Rob Bishop, Daniel Rueckert, Zehan Wang:
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network. CVPR 2016: 1874-1883 - [i4]Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew P. Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi:
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. CoRR abs/1609.04802 (2016) - [i3]Wenzhe Shi, Jose Caballero, Ferenc Huszár, Johannes Totz, Andrew P. Aitken, Rob Bishop, Daniel Rueckert, Zehan Wang:
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network. CoRR abs/1609.05158 (2016) - [i2]Wenzhe Shi, Jose Caballero, Lucas Theis, Ferenc Huszar, Andrew P. Aitken, Christian Ledig, Zehan Wang:
Is the deconvolution layer the same as a convolutional layer? CoRR abs/1609.07009 (2016) - [i1]Jose Caballero, Christian Ledig, Andrew P. Aitken, Alejandro Acosta, Johannes Totz, Zehan Wang, Wenzhe Shi:
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation. CoRR abs/1611.05250 (2016) - 2015
- [j1]Tong Tong, Robin Wolz, Zehan Wang, Qinquan Gao, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Joseph V. Hajnal, Daniel Rueckert:
Discriminative dictionary learning for abdominal multi-organ segmentation. Medical Image Anal. 23(1): 92-104 (2015) - 2014
- [b1]Zehan Wang:
Patch-based segmentation with spatial context for medical image analysis. Imperial College London, UK, 2014 - [c4]Zehan Wang, Kanwal K. Bhatia, Ben Glocker, Antonio M. Simoes Monteiro de Marvao, Tim Dawes, Kazunari Misawa, Kensaku Mori, Daniel Rueckert:
Geodesic Patch-Based Segmentation. MICCAI (1) 2014: 666-673 - 2013
- [c3]Zehan Wang, Claire R. Donoghue, Daniel Rueckert:
Patch-Based Segmentation without Registration: Application to Knee MRI. MLMI 2013: 98-105 - [c2]Zehan Wang, Lijun Zhu, Jiandong Qi:
ROI Extraction in Dermatosis Images Using a Method of Chan-Vese Segmentation Based on Saliency Detection. MUSIC 2013: 197-203 - 2012
- [c1]Zehan Wang, Robin Wolz, Tong Tong, Daniel Rueckert:
Spatially Aware Patch-Based Segmentation (SAPS): An Alternative Patch-Based Segmentation Framework. MCV 2012: 93-103
Coauthor Index
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last updated on 2024-06-14 18:10 CEST by the dblp team
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